@article{MTMT:34850085, title = {Optimal Motion Design for Autonomous Vehicles With Learning Aided Robust Control}, url = {https://m2.mtmt.hu/api/publication/34850085}, author = {Lelkó, Attila and Németh, Balázs}, doi = {10.1109/TVT.2024.3394699}, journal-iso = {IEEE T VEH TECHNOL}, journal = {IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY}, unique-id = {34850085}, issn = {0018-9545}, year = {2024}, eissn = {1939-9359}, pages = {1-15}, orcid-numbers = {Németh, Balázs/0000-0003-0211-3204} } @article{MTMT:34832889, title = {Multi‑sensor Attitude Estimation using Quaternion Constrained GNSS Ambiguity Resolution and Dynamics‑Based Observation Synchronization}, url = {https://m2.mtmt.hu/api/publication/34832889}, author = {Farkas, Márton and Rózsa, Szabolcs and Vanek, Bálint}, doi = {10.1007/s40328-024-00441-2}, journal-iso = {ACTA GEOD GEOPHYS}, journal = {ACTA GEODAETICA ET GEOPHYSICA}, volume = {59}, unique-id = {34832889}, issn = {2213-5812}, abstract = {Recently, high accuracy and low-cost navigation hardware is becoming increasingly available that can be efficiently used for the control of autonomous vehicles. We present a sensor fusion method providing tightly coupled integration of pseudorange, carrier phase, and Doppler satellite measurements taken at multiple vehicle-mounted GNSS antennas with onboard inertial sensor observations. The key of accurate GNSS position and orientation estimation is the successful integer ambiguity resolution. We propose a method that uses the quaternion states as constraints to improve ambiguity resolution and to increase the accuracy of the GNSS based attitude determination. Generally, the low-cost hardware neither allows a hardware-level time synchronization between the GNSS receivers due to a lack of a common external oscillator nor provides the clock steering function available in geodetic GNSS receivers. The lack of observation synchronization causes several degrees of error in attitude estimation. To eliminate this effect, a dynamics-based solution is presented that synchronizes the observations by taking the dynamics of the moving platform into account. Compared to common external oscillator based sensor setups, our solution allows to increase both the number of rover receivers on the platform and the baselines between them easily, thus it opens up new possibilities in the attitude determination of large vehicles. We validate our approach against a tactical grade inertial navigation system. The results show that our approach using low-cost sensors provides the ambiguity success rate of 100% for the moving baselines, and the positioning and attitude error reached the centimeter and half a degree level, respectively. © The Author(s) 2024.}, keywords = {DYNAMICS; SENSOR; error correction; SYNCHRONIZATION; global positioning system; vehicles; Hardware; measurement method; Costs; SATELLITE DATA; estimation method; ANTENNA; Tightly-coupled; Signal receivers; Sensor fusion; Sensor integration; Attitude estimation; Low-cost sensors; Air navigation; GNSS; GNSS; GNSS; Inertial Navigation Systems; iNs; iNs; Integer ambiguity resolution; Constrained integer ambiguity resolution; GNSS attitude estimation; Low-cost sensor integration; Tightly coupled sensor fusion; Constrained integer ambiguity resolution; GNSS attitude estimation; Low-cost sensor integration; Tightly coupled sensor fusion}, year = {2024}, eissn = {2213-5820}, pages = {51-71}, orcid-numbers = {Rózsa, Szabolcs/0000-0001-5335-6455; Vanek, Bálint/0000-0002-2458-2725} } @book{MTMT:34794830, title = {Active Anti-Roll Bar Control Design for Heavy Vehicles}, url = {https://m2.mtmt.hu/api/publication/34794830}, isbn = {9789819713585}, author = {Vu, V T and Sename, O and Gáspár, Péter and Trong, T D}, doi = {10.1007/978-981-97-1359-2}, publisher = {Springer Nature Singapore Pte Ltd}, unique-id = {34794830}, year = {2024}, orcid-numbers = {Gáspár, Péter/0000-0003-3388-1724} } @article{MTMT:34788066, title = {Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams}, url = {https://m2.mtmt.hu/api/publication/34788066}, author = {Tesone, Alessio and Tettamanti, Tamás and Varga, Balázs and Bifulco, Gennaro Nicola and Pariota, Luigi}, doi = {10.1109/ACCESS.2024.3387664}, journal-iso = {IEEE ACCESS}, journal = {IEEE ACCESS}, volume = {12}, unique-id = {34788066}, issn = {2169-3536}, abstract = {Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and CO2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions. Authors}, year = {2024}, eissn = {2169-3536}, pages = {52583-52602}, orcid-numbers = {Tesone, Alessio/0000-0002-8093-8175; Tettamanti, Tamás/0000-0002-8934-3653; Varga, Balázs/0000-0002-2945-7974; Pariota, Luigi/0000-0001-9173-666X} } @article{MTMT:34786414, title = {Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals}, url = {https://m2.mtmt.hu/api/publication/34786414}, author = {Dózsa, Tamás and Jurdana, V and Segota, S B and Volk, János and Radó, János and Soumelidis, Alexandros and Kovács, Péter}, doi = {10.1109/ACCESS.2024.3382931}, journal-iso = {IEEE ACCESS}, journal = {IEEE ACCESS}, volume = {12}, unique-id = {34786414}, issn = {2169-3536}, year = {2024}, eissn = {2169-3536}, pages = {53361-53372}, orcid-numbers = {Volk, János/0000-0003-3633-6190; Soumelidis, Alexandros/0000-0002-0067-7746; Kovács, Péter/0000-0002-0772-9721} } @article{MTMT:34779718, title = {Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning}, url = {https://m2.mtmt.hu/api/publication/34779718}, author = {Liu, Y and Wang, P and Lee, C and Tóth, Roland}, doi = {10.1109/TAES.2024.3361886}, journal-iso = {IEEE T AERO ELEC SYS}, journal = {IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS}, unique-id = {34779718}, issn = {0018-9251}, year = {2024}, eissn = {1557-9603}, pages = {1-17} } @article{MTMT:34758553, title = {Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning}, url = {https://m2.mtmt.hu/api/publication/34758553}, author = {Dózsa, Tamás and Őri, P and Szabari, M and Simonyi, Ernő and Soumelidis, Alexandros and Lakatos, István}, doi = {10.3390/machines12040214}, journal-iso = {MACHINES}, journal = {MACHINES}, volume = {12}, unique-id = {34758553}, abstract = {In this work we propose proof-of-concept methods to detect malfunctions of the braking system in passenger vehicles. In particular, we investigate the problem of detecting deformations of the brake disc based on data recorded by acceleration sensors mounted on the suspension of the vehicle. Our core hypothesis is that these signals contain vibrations caused by brake disc deformation. Since faults of this kind are typically monitored by the driver of the vehicle, the development of automatic fault-detection systems becomes more important with the rise of autonomous driving. In addition, the new brake boosters separate the brake pedal from the hydraulic system which results in less significant effects on the brake pedal force. Our paper offers two important contributions. Firstly, we provide a detailed description of our novel measurement scheme, the type and placement of the used sensors, signal acquisition and data characteristics. Then, in the second part of our paper we detail mathematically justified signal representations and different algorithms to distinguish between deformed and normal brake discs. For the proper understanding of the phenomenon, different brake discs were used with measured runout values. Since, in addition to brake disc deformation, the vibrations recorded by our accelerometers are nonlinearly dependent on a number of factors (such as the velocity, suspension, tire pressure, etc.), data-driven models are considered. Through experiments, we show that the proposed methods can be used to recognize faults in the braking system caused by brake disc deformation.}, year = {2024}, eissn = {2075-1702}, orcid-numbers = {Őri, P/0000-0002-4706-6432; Soumelidis, Alexandros/0000-0002-0067-7746; Lakatos, István/0000-0002-3855-7379} } @inproceedings{MTMT:34754671, title = {Modeling CT images in the presence of beam hardening​}, url = {https://m2.mtmt.hu/api/publication/34754671}, author = {Dózsa, Tamás and Fridli, Sándor and Kovács, Péter}, booktitle = {Proceedings of the Workshop Biosignal 2024}, unique-id = {34754671}, year = {2024}, pages = {1-5}, orcid-numbers = {Fridli, Sándor/0000-0003-3531-2576; Kovács, Péter/0000-0002-0772-9721} } @article{MTMT:34687431, title = {Choosing Routes in Urban Areas that are Robust Against Minor Nonrecurring Traffic Incidents}, url = {https://m2.mtmt.hu/api/publication/34687431}, author = {Fazekas, Zoltán and Obaid, Mohammed and Gáspár, Péter}, doi = {10.3311/PPtr.23792}, journal-iso = {PERIOD POLYTECH TRANSP ENG}, journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING}, volume = {52}, unique-id = {34687431}, issn = {0303-7800}, abstract = {The paper looks at certain vehicle-level re-routing issues within urban road networks, and related network-level traffic management issues. These arise mostly when the traffic along a route of significance is hindered, slowed down, or even blocked because of some – possibly minor – unexpected, nonrecurring traffic incident at a sensitive road location, or road section. Considerations for planning routes in urban areas – routes that are in some sense robust against such incidents – are presented herein. Also, the on–the–spot detection of traffic queues by an ego-vehicle – relying on data streams from on-board visual line-of-sight (LoS) exteroceptive sensors watching, scanning and monitoring the ego-vehicle's road environment, and by some on-board dedicated real-time detection systems processing and analyzing the incoming data streams – is touched upon. However, this traffic congestion avoidance and mitigating approach – effectuated either by individual autonomous vehicles, or by human drivers – presumes availability of alternative routes, which is not the case for a good portion of the route considered. A route planning approach that could be used for routes with such critical sections is proposed and motivated through an example of an urban route of significance.}, year = {2024}, eissn = {1587-3811}, pages = {173-180}, orcid-numbers = {Fazekas, Zoltán/0000-0001-5159-4476; Gáspár, Péter/0000-0003-3388-1724} } @article{MTMT:34588733, title = {Urban Traffic Congestion Alleviation Relying on the Vehicles’ On-board Traffic Congestion Detection Capabilities}, url = {https://m2.mtmt.hu/api/publication/34588733}, author = {Fazekas, Zoltán and Obaid, Mohammed and Karim, L and Gáspár, Péter}, doi = {10.12700/APH.21.6.2024.6.1}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, volume = {21}, unique-id = {34588733}, issn = {1785-8860}, year = {2024}, eissn = {1785-8860}, pages = {7-31}, orcid-numbers = {Fazekas, Zoltán/0000-0001-5159-4476; Gáspár, Péter/0000-0003-3388-1724} }